Your browser doesn't support javascript.
loading
Establishment of the methodology for quantifying lentiviral vector transcriptional read-through rate / 生物工程学报
Chinese Journal of Biotechnology ; (12): 1006-1015, 2013.
Article in Chinese | WPRIM | ID: wpr-233179
ABSTRACT
As an effective vehicle for bio-research and for gene therapy, Lentiviral Vector (LV) has been drawn large attention in recent years. However, transcriptional read-through limits its application. In order to understand the extend of LV read-through in chromosome, a reliable method to assess transcriptional read-through rate is needed. Here, we report the method as follows 293T cells were transfected with the lentiviral transfer vectors which borne with two LTRs at its two ends in order to mimic the state of "proviral vectors" in chromosome. Using the primers specific for 3'U5 and 3'U3, read-through and total transcripts were reverse transcribed, respectively. These two cDNAs were quantified by realtime PCR using the primers and probe specific for 5'end of 3'U3. Read-through rate was then calculated by the division of the two. Meanwhile, read-through product of green fluorescence protein was also analyzed by Fluorescence Activated Cell Sorter. They both reciprocally proved the principal and confirmed that self-inactivated LV appeared higher read-through rate than the wild type one. The method described in this article, therefore, provides a useful technique to study how to reduce read-through rate, and improve the bio-safety of LV.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Transfection / Genetic Therapy / Lentivirus / Green Fluorescent Proteins / HEK293 Cells / Flow Cytometry / Genetic Vectors Limits: Humans Language: Chinese Journal: Chinese Journal of Biotechnology Year: 2013 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Main subject: Transfection / Genetic Therapy / Lentivirus / Green Fluorescent Proteins / HEK293 Cells / Flow Cytometry / Genetic Vectors Limits: Humans Language: Chinese Journal: Chinese Journal of Biotechnology Year: 2013 Type: Article